Triple
T12600392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuppertal-Barmen station |
E300840
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
KVB
KVB is the station code assigned to Wuppertal-Barmen railway station in Germany’s rail network.
|
E991914
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: KVB | Statement: [Wuppertal-Barmen station, hasStationCode, KVB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KVB Context triple: [Wuppertal-Barmen station, hasStationCode, KVB]
-
A.
KVB
KVB is a French train protection and automatic speed control system used to enhance the safety of railway operations.
-
B.
KCB
KCB is the post-nominal abbreviation for Knight Commander of the Order of the Bath, a senior British order of chivalry.
-
C.
KCB
KCB is a British honorific post-nominal title signifying appointment as a Knight Companion of the Order of the Bath, one of the United Kingdom’s senior orders of chivalry.
-
D.
C-Bank
C-Bank is an American freestyle and dance music artist best known for the 1983 club hit "One More Shot."
-
E.
VIBK
VIBK is the ICAO airport code for Nal Airport, a regional airfield serving the Bikaner area in Rajasthan, India.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KVB Triple: [Wuppertal-Barmen station, hasStationCode, KVB]
Generated description
KVB is the station code assigned to Wuppertal-Barmen railway station in Germany’s rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KVB Target entity description: KVB is the station code assigned to Wuppertal-Barmen railway station in Germany’s rail network.
-
A.
KVB
KVB is a French train protection and automatic speed control system used to enhance the safety of railway operations.
-
B.
KCB
KCB is a British honorific post-nominal title signifying appointment as a Knight Companion of the Order of the Bath, one of the United Kingdom’s senior orders of chivalry.
-
C.
KCB
KCB is the post-nominal abbreviation for Knight Commander of the Order of the Bath, a senior British order of chivalry.
-
D.
C-Bank
C-Bank is an American freestyle and dance music artist best known for the 1983 club hit "One More Shot."
-
E.
VIBK
VIBK is the ICAO airport code for Nal Airport, a regional airfield serving the Bikaner area in Rajasthan, India.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954d1f6ac8190ab21ca7bcbc80129 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec92c6c8190bd2d193e70940407 |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f65faf33e0819092df07a5fa98cb73 |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66036f520819098af75cd5578d573 |
completed | May 2, 2026, 8:36 p.m. |
Created at: April 9, 2026, 5:09 p.m.